Performance Enhancement of Radial Distributed System with Distributed Generators by Reconfiguration Using Binary Firefly Algorithm

The extent of real power loss and voltage deviation associated with overloaded feeders in radial distribution system can be reduced by reconfiguration. Reconfiguration is normally achieved by changing the open/closed state of tie/sectionalizing switches. Finding optimal switch combination is a compl...

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Bibliographic Details
Published in:Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Vol. 96; no. 1; pp. 91 - 99
Main Authors: Rajalakshmi, N., Padma Subramanian, D., Thamizhavel, K.
Format: Journal Article
Language:English
Published: India Springer India 01.03.2015
Subjects:
Communications Engineering
Engineering
Networks
Original Contribution
Genetic algorithm (GA)
Firefly algorithm (FA)
Distributed generators (DG)
Radial distribution system (RDS)
Reconfiguration
ISSN:2250-2106, 2250-2114
Online Access:Get full text
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Summary:The extent of real power loss and voltage deviation associated with overloaded feeders in radial distribution system can be reduced by reconfiguration. Reconfiguration is normally achieved by changing the open/closed state of tie/sectionalizing switches. Finding optimal switch combination is a complicated problem as there are many switching combinations possible in a distribution system. Hence optimization techniques are finding greater importance in reducing the complexity of reconfiguration problem. This paper presents the application of firefly algorithm (FA) for optimal reconfiguration of radial distribution system with distributed generators (DG). The algorithm is tested on IEEE 33 bus system installed with DGs and the results are compared with binary genetic algorithm. It is found that binary FA is more effective than binary genetic algorithm in achieving real power loss reduction and improving voltage profile and hence enhancing the performance of radial distribution system. Results are found to be optimum when DGs are added to the test system, which proved the impact of DGs on distribution system.
ISSN:2250-2106
2250-2114
DOI:10.1007/s40031-014-0126-8